{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a9597480",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c92618e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "s = pd.Series(np.random.randn(10),index = np.arange(0,100,10))\n",
    "s.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "20691f92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.579494</td>\n",
       "      <td>-1.982485</td>\n",
       "      <td>-1.447840</td>\n",
       "      <td>0.356397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.885257</td>\n",
       "      <td>1.601046</td>\n",
       "      <td>0.647567</td>\n",
       "      <td>0.635294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.473364</td>\n",
       "      <td>-0.036655</td>\n",
       "      <td>-0.245923</td>\n",
       "      <td>-0.966360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>-0.868418</td>\n",
       "      <td>-1.518127</td>\n",
       "      <td>0.827650</td>\n",
       "      <td>0.121519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>-2.518483</td>\n",
       "      <td>0.702189</td>\n",
       "      <td>-0.767284</td>\n",
       "      <td>1.272382</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           A         B         C         D\n",
       "0  -0.579494 -1.982485 -1.447840  0.356397\n",
       "10  1.885257  1.601046  0.647567  0.635294\n",
       "20  0.473364 -0.036655 -0.245923 -0.966360\n",
       "30 -0.868418 -1.518127  0.827650  0.121519\n",
       "40 -2.518483  0.702189 -0.767284  1.272382"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(np.random.randn(10,4),index = np.arange(0,100,10),\n",
    "                columns = ['A','B','C','D'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a5ec3221",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a5fb300a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig,axes = plt.subplots(2,1)\n",
    "data = pd.Series(np.random.rand(16),index= list('abcdefghijklmnop'))\n",
    "data.plot(ax= axes[0],kind='bar')\n",
    "data.plot(ax= axes[1],kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ff1bf1f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Genus</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>one</th>\n",
       "      <td>0.267805</td>\n",
       "      <td>0.101449</td>\n",
       "      <td>0.912045</td>\n",
       "      <td>0.711907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>two</th>\n",
       "      <td>0.922224</td>\n",
       "      <td>0.888860</td>\n",
       "      <td>0.248858</td>\n",
       "      <td>0.631436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>three</th>\n",
       "      <td>0.381973</td>\n",
       "      <td>0.042906</td>\n",
       "      <td>0.056586</td>\n",
       "      <td>0.454597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>four</th>\n",
       "      <td>0.271727</td>\n",
       "      <td>0.588796</td>\n",
       "      <td>0.658957</td>\n",
       "      <td>0.029163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>five</th>\n",
       "      <td>0.256424</td>\n",
       "      <td>0.359752</td>\n",
       "      <td>0.208494</td>\n",
       "      <td>0.058600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Genus         A         B         C         D\n",
       "one    0.267805  0.101449  0.912045  0.711907\n",
       "two    0.922224  0.888860  0.248858  0.631436\n",
       "three  0.381973  0.042906  0.056586  0.454597\n",
       "four   0.271727  0.588796  0.658957  0.029163\n",
       "five   0.256424  0.359752  0.208494  0.058600"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(np.random.rand(6,4),\n",
    "              index =['one','two','three','four','five','six'],\n",
    "              columns =pd.Index(['A','B','C','D'],name = 'Genus'))\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c0818c66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a2a86b0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_bill   tip     sex smoker  day    time  size\n",
       "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
       "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4       24.59  3.61  Female     No  Sun  Dinner     4"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips = pd.read_csv('./data/tips.csv')\n",
    "tips.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1ac44088",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tips.total_bill.plot(kind='hist',bins=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "d72864f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>quarter</th>\n",
       "      <th>realgdp</th>\n",
       "      <th>realcons</th>\n",
       "      <th>realinv</th>\n",
       "      <th>realgovt</th>\n",
       "      <th>realdpi</th>\n",
       "      <th>cpi</th>\n",
       "      <th>m1</th>\n",
       "      <th>tbilrate</th>\n",
       "      <th>unemp</th>\n",
       "      <th>pop</th>\n",
       "      <th>infl</th>\n",
       "      <th>realint</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1959</td>\n",
       "      <td>1</td>\n",
       "      <td>2710.349</td>\n",
       "      <td>1707.4</td>\n",
       "      <td>286.898</td>\n",
       "      <td>470.045</td>\n",
       "      <td>1886.9</td>\n",
       "      <td>28.980</td>\n",
       "      <td>139.7</td>\n",
       "      <td>2.82</td>\n",
       "      <td>5.8</td>\n",
       "      <td>177.146</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1959</td>\n",
       "      <td>2</td>\n",
       "      <td>2778.801</td>\n",
       "      <td>1733.7</td>\n",
       "      <td>310.859</td>\n",
       "      <td>481.301</td>\n",
       "      <td>1919.7</td>\n",
       "      <td>29.150</td>\n",
       "      <td>141.7</td>\n",
       "      <td>3.08</td>\n",
       "      <td>5.1</td>\n",
       "      <td>177.830</td>\n",
       "      <td>2.34</td>\n",
       "      <td>0.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1959</td>\n",
       "      <td>3</td>\n",
       "      <td>2775.488</td>\n",
       "      <td>1751.8</td>\n",
       "      <td>289.226</td>\n",
       "      <td>491.260</td>\n",
       "      <td>1916.4</td>\n",
       "      <td>29.350</td>\n",
       "      <td>140.5</td>\n",
       "      <td>3.82</td>\n",
       "      <td>5.3</td>\n",
       "      <td>178.657</td>\n",
       "      <td>2.74</td>\n",
       "      <td>1.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1959</td>\n",
       "      <td>4</td>\n",
       "      <td>2785.204</td>\n",
       "      <td>1753.7</td>\n",
       "      <td>299.356</td>\n",
       "      <td>484.052</td>\n",
       "      <td>1931.3</td>\n",
       "      <td>29.370</td>\n",
       "      <td>140.0</td>\n",
       "      <td>4.33</td>\n",
       "      <td>5.6</td>\n",
       "      <td>179.386</td>\n",
       "      <td>0.27</td>\n",
       "      <td>4.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1960</td>\n",
       "      <td>1</td>\n",
       "      <td>2847.699</td>\n",
       "      <td>1770.5</td>\n",
       "      <td>331.722</td>\n",
       "      <td>462.199</td>\n",
       "      <td>1955.5</td>\n",
       "      <td>29.540</td>\n",
       "      <td>139.6</td>\n",
       "      <td>3.50</td>\n",
       "      <td>5.2</td>\n",
       "      <td>180.007</td>\n",
       "      <td>2.31</td>\n",
       "      <td>1.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>2008</td>\n",
       "      <td>3</td>\n",
       "      <td>13324.600</td>\n",
       "      <td>9267.7</td>\n",
       "      <td>1990.693</td>\n",
       "      <td>991.551</td>\n",
       "      <td>9838.3</td>\n",
       "      <td>216.889</td>\n",
       "      <td>1474.7</td>\n",
       "      <td>1.17</td>\n",
       "      <td>6.0</td>\n",
       "      <td>305.270</td>\n",
       "      <td>-3.16</td>\n",
       "      <td>4.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>13141.920</td>\n",
       "      <td>9195.3</td>\n",
       "      <td>1857.661</td>\n",
       "      <td>1007.273</td>\n",
       "      <td>9920.4</td>\n",
       "      <td>212.174</td>\n",
       "      <td>1576.5</td>\n",
       "      <td>0.12</td>\n",
       "      <td>6.9</td>\n",
       "      <td>305.952</td>\n",
       "      <td>-8.79</td>\n",
       "      <td>8.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>2009</td>\n",
       "      <td>1</td>\n",
       "      <td>12925.410</td>\n",
       "      <td>9209.2</td>\n",
       "      <td>1558.494</td>\n",
       "      <td>996.287</td>\n",
       "      <td>9926.4</td>\n",
       "      <td>212.671</td>\n",
       "      <td>1592.8</td>\n",
       "      <td>0.22</td>\n",
       "      <td>8.1</td>\n",
       "      <td>306.547</td>\n",
       "      <td>0.94</td>\n",
       "      <td>-0.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2009</td>\n",
       "      <td>2</td>\n",
       "      <td>12901.504</td>\n",
       "      <td>9189.0</td>\n",
       "      <td>1456.678</td>\n",
       "      <td>1023.528</td>\n",
       "      <td>10077.5</td>\n",
       "      <td>214.469</td>\n",
       "      <td>1653.6</td>\n",
       "      <td>0.18</td>\n",
       "      <td>9.2</td>\n",
       "      <td>307.226</td>\n",
       "      <td>3.37</td>\n",
       "      <td>-3.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>2009</td>\n",
       "      <td>3</td>\n",
       "      <td>12990.341</td>\n",
       "      <td>9256.0</td>\n",
       "      <td>1486.398</td>\n",
       "      <td>1044.088</td>\n",
       "      <td>10040.6</td>\n",
       "      <td>216.385</td>\n",
       "      <td>1673.9</td>\n",
       "      <td>0.12</td>\n",
       "      <td>9.6</td>\n",
       "      <td>308.013</td>\n",
       "      <td>3.56</td>\n",
       "      <td>-3.44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>203 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     year  quarter    realgdp  realcons   realinv  realgovt  realdpi      cpi  \\\n",
       "0    1959        1   2710.349    1707.4   286.898   470.045   1886.9   28.980   \n",
       "1    1959        2   2778.801    1733.7   310.859   481.301   1919.7   29.150   \n",
       "2    1959        3   2775.488    1751.8   289.226   491.260   1916.4   29.350   \n",
       "3    1959        4   2785.204    1753.7   299.356   484.052   1931.3   29.370   \n",
       "4    1960        1   2847.699    1770.5   331.722   462.199   1955.5   29.540   \n",
       "..    ...      ...        ...       ...       ...       ...      ...      ...   \n",
       "198  2008        3  13324.600    9267.7  1990.693   991.551   9838.3  216.889   \n",
       "199  2008        4  13141.920    9195.3  1857.661  1007.273   9920.4  212.174   \n",
       "200  2009        1  12925.410    9209.2  1558.494   996.287   9926.4  212.671   \n",
       "201  2009        2  12901.504    9189.0  1456.678  1023.528  10077.5  214.469   \n",
       "202  2009        3  12990.341    9256.0  1486.398  1044.088  10040.6  216.385   \n",
       "\n",
       "         m1  tbilrate  unemp      pop  infl  realint  \n",
       "0     139.7      2.82    5.8  177.146  0.00     0.00  \n",
       "1     141.7      3.08    5.1  177.830  2.34     0.74  \n",
       "2     140.5      3.82    5.3  178.657  2.74     1.09  \n",
       "3     140.0      4.33    5.6  179.386  0.27     4.06  \n",
       "4     139.6      3.50    5.2  180.007  2.31     1.19  \n",
       "..      ...       ...    ...      ...   ...      ...  \n",
       "198  1474.7      1.17    6.0  305.270 -3.16     4.33  \n",
       "199  1576.5      0.12    6.9  305.952 -8.79     8.91  \n",
       "200  1592.8      0.22    8.1  306.547  0.94    -0.71  \n",
       "201  1653.6      0.18    9.2  307.226  3.37    -3.19  \n",
       "202  1673.9      0.12    9.6  308.013  3.56    -3.44  \n",
       "\n",
       "[203 rows x 14 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "macro = pd.read_csv('./data/macrodata.csv')\n",
    "macro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "571bac58",
   "metadata": {},
   "outputs": [],
   "source": [
    "# pd.scatter_matrix(macro,color='k',alpha=0.3)\n",
    "\n",
    "data = macro[['quarter','realgdp','realcons']]\n",
    "# pd.plotting.scatter_matrix(macro, color='k',alpha=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "d369acc2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='quarter', ylabel='realgdp'>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot.scatter('quarter','realgdp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "cddfe08c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: xlabel='quarter', ylabel='quarter'>,\n",
       "        <Axes: xlabel='realgdp', ylabel='quarter'>,\n",
       "        <Axes: xlabel='realcons', ylabel='quarter'>],\n",
       "       [<Axes: xlabel='quarter', ylabel='realgdp'>,\n",
       "        <Axes: xlabel='realgdp', ylabel='realgdp'>,\n",
       "        <Axes: xlabel='realcons', ylabel='realgdp'>],\n",
       "       [<Axes: xlabel='quarter', ylabel='realcons'>,\n",
       "        <Axes: xlabel='realgdp', ylabel='realcons'>,\n",
       "        <Axes: xlabel='realcons', ylabel='realcons'>]], dtype=object)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.plotting.scatter_matrix(data,color='g',alpha=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "884821cb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
